Modelling latent structures in neural activity to better predict behaviour
Nonlinear latent factors and latent structures in the activity of neural populations can be computationally modelled to enable flexible inference and to better predict neural activity and behaviour.
Published in Neuroscience
The cover illustrates that latent factors and latent structures in the activity of neural populations can be computationally modelled to better predict neural activity and behaviour.
Image: Ella Marushchenko and Ekaterina Zvorykina (Ella Maru Studio, Inc.). Cover design: Alex Wing.
Chief Editor, Nature Biomedical Engineering, Nature Research
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Computational Neuroscience
Life Sciences > Biological Sciences > Neuroscience > Computational Neuroscience
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